{"id":"https://openalex.org/W99920971","doi":null,"title":"A convex relaxation approach to set-membership identification","display_name":"A convex relaxation approach to set-membership identification","publication_year":2012,"publication_date":"2012-10-01","ids":{"openalex":"https://openalex.org/W99920971","mag":"99920971"},"language":"en","primary_location":{"id":"pmh:oai:iris.polito.it:11583/2497251","doi":null,"is_oa":false,"landing_page_url":"http://hdl.handle.net/11583/2497251","pdf_url":null,"source":{"id":"https://openalex.org/S7407055329","display_name":"PORTO@Iris","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"info:eu-repo/semantics/doctoralThesis"},"volume":null,"type":"dissertation","is_traditional":true,"indexed_in":[],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5046585507","display_name":"Dario Piga","orcid":"https://orcid.org/0000-0001-7691-4886","observed_orcids":["https://orcid.org/0000-0001-7691-4886"]},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Dario Piga","raw_affiliation_strings":[],"raw_orcid":"https://orcid.org/0000-0001-7691-4886","affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":["https://openalex.org/A5046585507"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11236","display_name":"Control Systems and Identification","score":0.9951000213623047,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11236","display_name":"Control Systems and Identification","score":0.9951000213623047,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10963","display_name":"Advanced Optimization Algorithms Research","score":0.0017000000225380063,"subfield":{"id":"https://openalex.org/subfields/2612","display_name":"Numerical Analysis"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T13487","display_name":"Statistical and numerical algorithms","score":0.000699999975040555,"subfield":{"id":"https://openalex.org/subfields/2604","display_name":"Applied Mathematics"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/set-membership-identification","display_name":"set-membership identification","score":0.9869999885559082},{"id":"https://openalex.org/keywords/convex-relaxation","display_name":"convex relaxation","score":0.9700000286102295},{"id":"https://openalex.org/keywords/theory-of-moments","display_name":"moment theory","score":0.8920000195503235},{"id":"https://openalex.org/keywords/polynomial-optimization","display_name":"polynomial optimization","score":0.7789999842643738},{"id":"https://openalex.org/keywords/errors-in-variables-identification","display_name":"errors-in-variables identification","score":0.843999981880188},{"id":"https://openalex.org/keywords/linear-time-invariant-systems","display_name":"linear time-invariant systems","score":0.8870000243186951},{"id":"https://openalex.org/keywords/semidefinite-programming","display_name":"semidefinite programming","score":0.8970000147819519},{"id":"https://openalex.org/keywords/sparse-optimization","display_name":"sparse optimization","score":0.4580000042915344},{"id":"https://openalex.org/keywords/block-oriented-nonlinear-systems","display_name":"block-oriented nonlinear systems","score":0.8410000205039978},{"id":"https://openalex.org/keywords/hammerstein-wiener-systems","display_name":"Hammerstein-Wiener systems","score":0.9330000281333923},{"id":"https://openalex.org/keywords/backlash-nonlinearity","display_name":"backlash nonlinearity","score":0.972000002861023},{"id":"https://openalex.org/keywords/parameter-bounds","display_name":"parameter bounds","score":0.3529999852180481},{"id":"https://openalex.org/keywords/bounded-measurement-noise","display_name":"bounded measurement noise","score":0.6000000238418579},{"id":"https://openalex.org/keywords/large-data-sets","display_name":"large data sets","score":0.40799999237060547},{"id":"https://openalex.org/keywords/nonlinear-system-identification","display_name":"nonlinear system identification","score":0.42500001192092896}],"concepts":[{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.6215419769287109},{"id":"https://openalex.org/C186633575","wikidata":"https://www.wikidata.org/wiki/Q845060","display_name":"Maxima and minima","level":2,"score":0.6063907742500305},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.552570104598999},{"id":"https://openalex.org/C101901036","wikidata":"https://www.wikidata.org/wiki/Q2269096","display_name":"Semidefinite programming","level":2,"score":0.5500137805938721},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.5084918737411499},{"id":"https://openalex.org/C34388435","wikidata":"https://www.wikidata.org/wiki/Q2267362","display_name":"Bounded function","level":2,"score":0.4962990880012512},{"id":"https://openalex.org/C2776029896","wikidata":"https://www.wikidata.org/wiki/Q3935810","display_name":"Relaxation (psychology)","level":2,"score":0.48294728994369507},{"id":"https://openalex.org/C75553542","wikidata":"https://www.wikidata.org/wiki/Q178161","display_name":"A priori and a posteriori","level":2,"score":0.46928369998931885},{"id":"https://openalex.org/C157972887","wikidata":"https://www.wikidata.org/wiki/Q463359","display_name":"Convex optimization","level":3,"score":0.45174479484558105},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.44221657514572144},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.41741666197776794},{"id":"https://openalex.org/C79610928","wikidata":"https://www.wikidata.org/wiki/Q1656743","display_name":"Parameter identification problem","level":3,"score":0.4114547073841095},{"id":"https://openalex.org/C28826006","wikidata":"https://www.wikidata.org/wiki/Q33521","display_name":"Applied mathematics","level":1,"score":0.32712608575820923},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.2533794045448303},{"id":"https://openalex.org/C112680207","wikidata":"https://www.wikidata.org/wiki/Q714886","display_name":"Regular polygon","level":2,"score":0.21667134761810303},{"id":"https://openalex.org/C2983447341","wikidata":"https://www.wikidata.org/wiki/Q1413083","display_name":"Model parameter","level":2,"score":0.0},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0},{"id":"https://openalex.org/C77805123","wikidata":"https://www.wikidata.org/wiki/Q161272","display_name":"Social psychology","level":1,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"pmh:oai:iris.polito.it:11583/2497251","doi":null,"is_oa":false,"landing_page_url":"http://hdl.handle.net/11583/2497251","pdf_url":null,"source":{"id":"https://openalex.org/S7407055329","display_name":"PORTO@Iris","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"info:eu-repo/semantics/doctoralThesis"},{"id":"pmh:oai:porto.polito.it:2497251","doi":null,"is_oa":false,"landing_page_url":"http://porto.polito.it/2497251/","pdf_url":null,"source":{"id":"https://openalex.org/S4306402038","display_name":"PORTO Publications Open Repository TOrino (Politecnico di Torino)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I177477856","host_organization_name":"Politecnico di Torino","host_organization_lineage":["https://openalex.org/I177477856"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"info:eu-repo/semantics/doctoralThesis"},{"id":"mag:99920971","doi":null,"is_oa":false,"landing_page_url":"http://dariopiga.com/Papers/Thesis/PhDThesisPiga.pdf","pdf_url":null,"source":null,"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":165,"referenced_works":["https://openalex.org/W91058509","https://openalex.org/W140745527","https://openalex.org/W208852484","https://openalex.org/W363083054","https://openalex.org/W608268716","https://openalex.org/W1484989318","https://openalex.org/W1486805805","https://openalex.org/W1490488263","https://openalex.org/W1522975959","https://openalex.org/W1532322900","https://openalex.org/W1536683043","https://openalex.org/W1544016679","https://openalex.org/W1555818350","https://openalex.org/W1572004772","https://openalex.org/W1585838975","https://openalex.org/W1592082209","https://openalex.org/W1596738269","https://openalex.org/W1964164732","https://openalex.org/W1965324089","https://openalex.org/W1967238301","https://openalex.org/W1967344706","https://openalex.org/W1967444877","https://openalex.org/W1971630942","https://openalex.org/W1971838648","https://openalex.org/W1972280794","https://openalex.org/W1973407458","https://openalex.org/W1973435625","https://openalex.org/W1974144423","https://openalex.org/W1975214409","https://openalex.org/W1975552285","https://openalex.org/W1975923316","https://openalex.org/W1976482078","https://openalex.org/W1979215140","https://openalex.org/W1981934325","https://openalex.org/W1982857058","https://openalex.org/W1984780593","https://openalex.org/W1985718264","https://openalex.org/W1986980338","https://openalex.org/W1988065062","https://openalex.org/W1988101164","https://openalex.org/W1991725952","https://openalex.org/W1991777572","https://openalex.org/W1994993102","https://openalex.org/W1997237786","https://openalex.org/W1998509663","https://openalex.org/W1998729854","https://openalex.org/W2000591741","https://openalex.org/W2001229688","https://openalex.org/W2001709585","https://openalex.org/W2003429447","https://openalex.org/W2006055599","https://openalex.org/W2006142473","https://openalex.org/W2006928570","https://openalex.org/W2008797802","https://openalex.org/W2010255139","https://openalex.org/W2016583047","https://openalex.org/W2018033126","https://openalex.org/W2018604204","https://openalex.org/W2019016008","https://openalex.org/W2021065610","https://openalex.org/W2023055167","https://openalex.org/W2024333251","https://openalex.org/W2024376618","https://openalex.org/W2024892882","https://openalex.org/W2025709654","https://openalex.org/W2026089740","https://openalex.org/W2027578932","https://openalex.org/W2028847290","https://openalex.org/W2029686441","https://openalex.org/W2032821077","https://openalex.org/W2033078768","https://openalex.org/W2033582169","https://openalex.org/W2039456153","https://openalex.org/W2040857696","https://openalex.org/W2041461690","https://openalex.org/W2042342157","https://openalex.org/W2043192127","https://openalex.org/W2044428131","https://openalex.org/W2047591490","https://openalex.org/W2049881253","https://openalex.org/W2050186914","https://openalex.org/W2050270339","https://openalex.org/W2052749351","https://openalex.org/W2059675476","https://openalex.org/W2060866745","https://openalex.org/W2062956290","https://openalex.org/W2066698330","https://openalex.org/W2068270626","https://openalex.org/W2068320390","https://openalex.org/W2069852566","https://openalex.org/W2070010787","https://openalex.org/W2072627349","https://openalex.org/W2073114888","https://openalex.org/W2074203730","https://openalex.org/W2074400045","https://openalex.org/W2076112166","https://openalex.org/W2077010962","https://openalex.org/W2080667033","https://openalex.org/W2081553571","https://openalex.org/W2084026104","https://openalex.org/W2087412481","https://openalex.org/W2088811768","https://openalex.org/W2089443998","https://openalex.org/W2090967418","https://openalex.org/W2091801707","https://openalex.org/W2094378932","https://openalex.org/W2096218681","https://openalex.org/W2099719924","https://openalex.org/W2101333160","https://openalex.org/W2105239319","https://openalex.org/W2105629209","https://openalex.org/W2106578181","https://openalex.org/W2113515275","https://openalex.org/W2114311742","https://openalex.org/W2114736631","https://openalex.org/W2116862700","https://openalex.org/W2118695180","https://openalex.org/W2120625713","https://openalex.org/W2121379996","https://openalex.org/W2126093238","https://openalex.org/W2127541165","https://openalex.org/W2127931258","https://openalex.org/W2130077502","https://openalex.org/W2132200595","https://openalex.org/W2132312293","https://openalex.org/W2132894351","https://openalex.org/W2134323508","https://openalex.org/W2136876974","https://openalex.org/W2140357316","https://openalex.org/W2141434098","https://openalex.org/W2142014508","https://openalex.org/W2143692582","https://openalex.org/W2143783939","https://openalex.org/W2144239679","https://openalex.org/W2144567492","https://openalex.org/W2144614463","https://openalex.org/W2146207066","https://openalex.org/W2147930807","https://openalex.org/W2148878725","https://openalex.org/W2148957909","https://openalex.org/W2149350706","https://openalex.org/W2152429090","https://openalex.org/W2154669359","https://openalex.org/W2155073987","https://openalex.org/W2155238924","https://openalex.org/W2158006774","https://openalex.org/W2159629693","https://openalex.org/W2159862980","https://openalex.org/W2161181093","https://openalex.org/W2161657516","https://openalex.org/W2164628203","https://openalex.org/W2167465371","https://openalex.org/W2169683785","https://openalex.org/W2170090733","https://openalex.org/W2171875573","https://openalex.org/W2174321629","https://openalex.org/W2180296759","https://openalex.org/W2310464046","https://openalex.org/W2341573425","https://openalex.org/W2442324107","https://openalex.org/W2489111666","https://openalex.org/W2495941112","https://openalex.org/W2536620281","https://openalex.org/W2570513205","https://openalex.org/W2733678406"],"related_works":["https://openalex.org/W2041461690","https://openalex.org/W2141434098","https://openalex.org/W2127931258","https://openalex.org/W2569581609","https://openalex.org/W7074199130","https://openalex.org/W2047876668","https://openalex.org/W3178932521","https://openalex.org/W1994658746","https://openalex.org/W2126093238","https://openalex.org/W2002023533"],"abstract_inverted_index":{"Set-membership":[0,50],"identification":[1,216,239,269,290,295,471,526,588,654],"of":[2,23,49,54,61,82,99,106,113,160,184,201,208,211,233,245,249,257,266,282,291,296,304,331,341,364,381,390,417,455,472,486,491,498,506,517,527,549,581,589,595,626,671,692,720,727],"dynamical":[3],"systems":[4,299,420,531,694],"is":[5,27,38,44,58,163,252,284,310,321,358,421,446,479,494,510,532,617,700,740],"dealt":[6],"with":[7,67,110,223,241,435,448,458,477,561,578],"in":[8,16,97,142,167,213,229,334,496,593,630,732,736],"this":[9],"thesis.":[10],"Differently":[11],"from":[12,347,412,546],"the":[13,17,20,24,31,47,52,55,59,77,90,104,111,114,149,157,182,198,209,231,250,263,267,280,328,338,342,365,368,379,388,391,453,489,503,507,514,547,550,559,569,582,587,604,607,624,635,639,642,690,718,728,733,737],"stochastic":[14,734],"framework,":[15],"set-membership":[18,168,215,470,653,738],"context":[19],"statistical":[21],"description":[22],"measurement":[25,78,392],"noise":[26],"not":[28,131,153,385],"available":[29],"and":[30,73,123,307,372,432,438,474,502,641,674,713,722,735],"only":[32],"information":[33],"on":[34,76,85,181,301,360,387,408,568,623,668],"such":[35,174,234],"an":[36,611,660,675],"error":[37],"that":[39,396,598,637],"its":[40],"amplitude":[41],"or":[42,606],"energy":[43],"bounded.":[45],"In":[46,170,286,702],"framework":[48,739],"identification,":[51],"result":[53],"estimation":[56],"process":[57],"set":[60,93,670],"all":[62],"system":[63,86,202,409,551,560],"parameter":[64,92,136,370,492,536,644],"values":[65,159,200],"consistent":[66],"measured":[68],"data,":[69,673],"assumed":[70],"model":[71,426,662,677],"structure":[72,330],"a-priori":[74,695],"assumptions":[75],"error.":[79],"The":[80,247,317,350,424,443,651],"problem":[81,397,691],"evaluating":[83],"bounds":[84,151,192,407,493,537,567,622],"parameters":[87,410,454,592,625],"belonging":[88],"to":[89,134,155,172,188,196,219,237,253,274,323,336,354,374,395,405,451,512,552,585,619,658,678,697,709],"feasible":[91,369],"can":[94,130,140,401,599],"be":[95,132,402,600,698],"formulated":[96,495,508],"terms":[98,497,594],"polynomial":[100,375,463,499],"optimization":[101,128,376,500],"problems,":[102,270],"where":[103,378],"number":[105,244,256,281,380],"decision":[107,382],"variables":[108,383],"increases":[109],"length":[112],"experimental":[115,672],"data":[116,414,544],"sequence.":[117,393],"Such":[118],"problems":[119,217,222,240,333,345,377,501,509,597],"are":[120,152,186,194,538,572,575,646,656,707],"generally":[121],"nonconvex":[122],"NP-hard.":[124],"Therefore,":[125],"standard":[126],"nonlinear":[127,419,440,529],"tools":[129],"used":[133,657],"compute":[135,190,406,620],"bounds,":[137],"since":[138],"they":[139],"trap":[141],"local":[143],"minima":[144],"and,":[145],"as":[146,324,355],"a":[147,164,175,205,242,255,361,466,484,522,562,669],"consequence,":[148],"computed":[150,540],"guaranteed":[154,195,621],"contain":[156,197],"true":[158,199],"parameters,":[161],"which":[162,193,320,574],"key":[165],"requirement":[166],"identification.":[169],"order":[171,335],"overcome":[173],"problem,":[176],"convex":[177,614],"relaxation":[178,235,315,615],"procedures":[179,236],"based":[180,259,300,359,519,667],"theory":[183,210],"moments":[185,212],"proposed":[187,708,729],"efficiently":[189,403],"relaxed":[191],"parameters.":[203],"Unfortunately,":[204],"direct":[206],"application":[207],"relaxing":[214],"leads":[218,373],"semidefinite":[220,343],"programming":[221,344],"high":[224],"computational":[225,339,515],"burden,":[226],"thus":[227],"limiting,":[228],"practice,":[230],"use":[232],"solve":[238],"small":[243],"measurements.":[246],"aim":[248],"thesis":[251],"derive":[254,659],"convex-relaxation":[258],"algorithms":[260,655,706],"that,":[261],"exploiting":[262],"peculiar":[264],"properties":[265],"considered":[268,425],"make":[271],"it":[272],"possible":[273],"perform":[275],"bound":[276],"computation":[277],"also":[278,411,422],"when":[279],"measurements":[283,303,580,645],"large.":[285],"particular,":[287,703],"errors-in-variables":[288],"(EIV)":[289],"linear":[292,590],"models,":[293],"concerning":[294],"linear-time-invariant":[297],"(LTI)":[298],"noise-corrupted":[302,579],"both":[305,638,731],"input":[306,565],"output":[308,583,640],"signals,":[309],"tackled":[311],"through":[312,603],"two":[313],"different":[314],"approaches.":[316],"first":[318,539],"method,":[319],"referred":[322,353],"dynamic-EIV":[325],"approach,":[326,357],"exploits":[327],"sparse":[329],"EIV":[332,596],"reduce":[337,513],"complexity":[340,516],"arising":[346],"theory-of-moment":[348,399,518],"relaxations.":[349,520],"second":[351],"technique,":[352],"semi-static-EIV":[356,444,608],"suitable":[362,449,704],"handling":[363],"constraints":[366,716],"defining":[367],"set,":[371],"does":[384],"depend":[386],"size":[389],"Thanks":[394],"reformulation,":[398],"relaxations":[400],"applied":[404],"large":[413],"set.":[415],"Identification":[416],"block-oriented":[418],"addressed.":[423],"structures":[427,434],"are:":[428],"Hammerstein-Wiener":[429,456],"systems;":[430],"Hammerstein-like":[431],"Wiener-like":[433],"backlash":[436,478],"nonlinearity":[437],"block-structured":[439,528],"feedback":[441,530],"systems.":[442],"approach":[445,468],"extended":[447],"modifications":[450],"estimate":[452],"models":[457,476,629],"static":[459],"blocks":[460],"described":[461],"by":[462,541,557,648,685],"functions.":[464],"Then,":[465,556,610],"unified":[467],"for":[469,525,682,717],"Hammerstein":[473],"Wiener":[475],"discussed.":[480,701,741],"By":[481],"properly":[482],"selecting":[483],"sequence":[485],"input/output":[487,543,631],"measurements,":[488],"evaluation":[490],"structured":[504],"sparsity":[505],"exploited":[511],"Finally,":[521,689],"two-stage":[523],"method":[524],"presented.":[533],"Nonlinear":[534],"block":[535,591],"using":[542],"collected":[545],"response":[548],"square":[553],"wave":[554],"inputs.":[555],"stimulating":[558],"persistently":[563],"exciting":[564],"signal,":[566,584],"unmeasurable":[570],"inner-signal":[571],"evaluated,":[573],"used,":[576],"together":[577],"formulate":[586],"solved":[601],"either":[602],"dynamic":[605],"approach.":[609],"\"ad":[612],"hoc\"":[613],"scheme":[616],"presented":[618],"linear-parameter-varying":[627],"(LPV)":[628],"(I/O)":[632],"form,":[633],"under":[634],"assumption":[636],"scheduling":[643],"affected":[647,684],"bounded":[649],"noise.":[650],"developed":[652],"LPV":[661,676,723],"describing":[663],"vehicle":[664],"lateral":[665],"dynamics":[666,681],"describe":[679],"glucose-insulin":[680],"patients":[683],"Type":[686],"I":[687],"diabetes.":[688],"identifying":[693],"known":[696],"stable":[699],"relaxation-based":[705],"enforce":[710],"BIBO":[711],"stability":[712,715],"quadratic":[714],"cases":[719],"LTI":[721],"systems,":[724],"respectively.":[725],"Applicability":[726],"techniques":[730]},"counts_by_year":[{"year":2021,"cited_by_count":1},{"year":2019,"cited_by_count":1}],"updated_date":"2026-10-03T13:16:28.481748","created_date":"2016-06-24T00:00:00"}